diff --git a/.gitignore b/.gitignore
index f46bf1c..9771d8b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -170,3 +170,4 @@ cython_debug/
 
 # debugging output
 outputs/
+.ragatouille/
diff --git a/bots/docs_qa.py b/bots/docs_qa.py
index 31d67b6..91fa9e1 100644
--- a/bots/docs_qa.py
+++ b/bots/docs_qa.py
@@ -7,7 +7,7 @@
 import openai
 import utils.slack_utils as slack_utils
 from bots.structured_log import bot_log, BotLogEntry
-from docs_qa.rag_manual_stuff import rag_with_typesense
+from docs_qa.rag_manual_colbert_rerank import rag_with_typesense
 from channel_msg_categorize.run_chain import (
     run_chain_async as run_channel_msg_categorize,
 )
diff --git a/docs_qa/main.py b/docs_qa/main.py
index cb59132..a1ad1c9 100644
--- a/docs_qa/main.py
+++ b/docs_qa/main.py
@@ -2,7 +2,7 @@
 import pprint
 import openai
 
-from docs_qa.rag_manual_stuff import rag_with_typesense
+from docs_qa.rag_manual_colbert_rerank import rag_with_typesense
 from channel_msg_categorize.run_chain import (
     run_chain_async as run_channel_msg_categorize,
 )
@@ -25,22 +25,22 @@ async def main(text):
 
     print("Reading Altinn Studio docs...")
 
-    rag_with_typesense_error = None
+    rag_error = None
 
     try:
         rag_response = await rag_with_typesense(text)    
     except openai.APIConnectionError as e:
-        rag_with_typesense_error = f"Azure OpenAI error: {e}"
+        rag_error = f"Azure OpenAI error: {e}"
     except openai.RateLimitError as e:
-        rag_with_typesense_error = f"Azure OpenAI service is busy right now, let's try again"
+        rag_error = f"Azure OpenAI service is busy right now, let's try again"
     except openai.APIStatusError as e:
-        rag_with_typesense_error = f"Azure OpenAI API error: {e}"
+        rag_error = f"Azure OpenAI API error: {e}"
     except Exception as ex:
-        rag_with_typesense_error = f"Error: {ex}"
+        rag_error = f"Error: {ex}"
 
 
-    if rag_with_typesense_error:
-        print(rag_with_typesense_error)
+    if rag_error:
+        print(rag_error)
         return
 
 
diff --git a/docs_qa/rag_manual_colbert_rerank.py b/docs_qa/rag_manual_colbert_rerank.py
new file mode 100644
index 0000000..f0fddcd
--- /dev/null
+++ b/docs_qa/rag_manual_colbert_rerank.py
@@ -0,0 +1,261 @@
+import box
+import timeit
+import yaml
+import pprint
+
+from langchain.pydantic_v1 import BaseModel, Field
+from langchain.prompts import ChatPromptTemplate
+from langchain.chains.openai_functions import (
+    create_structured_output_chain
+)
+from ragatouille import RAGPretrainedModel
+from docs_qa.llm import build_llm
+from docs_qa.prompts import qa_template
+from docs_qa.extract_search_terms import run_query_async
+from docs_qa.translate_answer import translate_to_language
+import docs_qa.typesense_search as search
+from typing import Sequence
+from .config import config
+
+pp = pprint.PrettyPrinter(indent=2)
+
+cfg = config()
+
+
+# Import config vars
+with open('docs_qa/config/config.yml', 'r', encoding='utf8') as ymlfile:
+    cfg = box.Box(yaml.safe_load(ymlfile))
+
+RAG = RAGPretrainedModel.from_pretrained("colbert-ir/colbertv2.0")
+
+
+
+class RagContextRefs(BaseModel):
+    # relevant_content: str = Field(..., description="Three or four sentences from the most relevant parts of the context document")
+    source: str = Field(..., description="The metadata.source property")
+
+class RagPromptReply(BaseModel):
+    """Relevant context data"""
+    helpful_answer: str = Field(..., description="The helpful answer")
+    i_dont_know: bool = Field(..., description="True when unable to answer based on the given context.")
+    relevant_contexts: Sequence[RagContextRefs] = Field(..., description="List of context documents that were relevant when answering the question.")
+    
+
+
+async def rag_with_typesense(user_input):
+
+    durations = {
+        'total': 0,
+        'generate_searches': 0,
+        'execute_searches': 0,
+        'phrase_similarity_search': 0,
+        'colbert_rerank': 0,
+        'rag_query': 0,
+        'translation': 0,
+    }
+    total_start = start = timeit.default_timer()
+    extract_search_queries = await run_query_async(user_input)
+    durations['generate_searches'] = round(timeit.default_timer() - start, 1)
+
+    # print(f'Query language code: \'{extract_search_queries.userInputLanguageCode}\', name: \'{extract_search_queries.userInputLanguageName}\'')
+    # print(f'User query, translated to English: {extract_search_queries.questionTranslatedToEnglish}')
+    
+    start = timeit.default_timer()
+    search_phrase_hits = await search.lookup_search_phrases_similar(extract_search_queries)
+    durations['phrase_similarity_search'] = round(timeit.default_timer() - start, 1)
+
+    print(f'Search phrase hits found: {len(search_phrase_hits)}')
+    # pp.pprint(search_phrase_hits)
+
+    start = timeit.default_timer()
+    search_response = await search.typesense_retrieve_all_by_url(search_phrase_hits)
+    durations['execute_searches'] = round(timeit.default_timer() - start, 1)
+
+    search_hits = [
+        {
+            'id': document['document']['id'],
+            'url': document['document']['url_without_anchor'],
+            'lvl0': document['document']['hierarchy.lvl0'],
+            'content_markdown': document['document'].get('content_markdown', ''),
+        }
+        for result in search_response['results']
+        for hit in result['grouped_hits']
+        for document in hit['hits']
+    ]    
+
+    # print(f'All source document urls:')
+    # pp.pprint(search_hits)
+
+    start = timeit.default_timer()
+
+    all_urls = []
+    all_docs = []
+    loaded_docs = []
+    loaded_urls = []
+    loaded_search_hits = []
+    doc_index = 0
+    docs_length = 0
+
+    # make list of all markdown content
+    while doc_index < len(search_hits):        
+        search_hit = search_hits[doc_index]
+        doc_index += 1
+        unique_url = search_hit['url']
+
+        if unique_url in all_urls:
+            continue
+
+        doc_md = search_hit['content_markdown']
+        if len(doc_md) == 0:
+            continue
+
+        loaded_doc = {
+            'page_content': doc_md,
+            'metadata': {            
+                'source': unique_url,                                
+            }
+        }    
+        all_docs.append(loaded_doc)
+        all_urls.append(unique_url)
+
+
+    # rerank results using ColBERT
+    start = timeit.default_timer()
+    content_original_rank = [
+        document['content_markdown']        
+        for document in search_hits
+    ]
+    reranked = RAG.rerank(query=user_input, documents=content_original_rank, k=10)
+    durations['colbert_rerank'] = round(timeit.default_timer() - start, 1)
+
+    # print(f'ColBERT re-ranking results:')
+    # pp.pprint(reranked)
+
+    # re-order search-hits based on new ranking
+    search_hits_reranked = []
+    for r in reranked:
+        h = search_hits[r['result_index']]
+        search_hits_reranked.append(h)
+
+
+    # need to preserve order in documents list
+    # should only append doc if context is not too big
+    doc_index = 0
+
+    while doc_index < len(search_hits_reranked):        
+        search_hit = search_hits_reranked[doc_index]
+        doc_index += 1
+        unique_url = search_hit['url']
+
+        if unique_url in loaded_urls:
+            continue
+
+        doc_md = search_hit['content_markdown']
+        doc_trimmed = doc_md[:cfg.MAX_SOURCE_LENGTH]
+        if (docs_length + len(doc_trimmed)) > cfg.MAX_CONTEXT_LENGTH:
+            doc_trimmed = doc_trimmed[:cfg.MAX_CONTEXT_LENGTH - docs_length - 20]
+
+        if len(doc_trimmed) == 0:
+            break
+
+        loaded_doc = {
+            'page_content': doc_trimmed,
+            'metadata': {            
+                'source': unique_url,                                
+            }
+        }    
+        print(f'loaded markdown doc, length= {len(doc_trimmed)}, url= {unique_url}')
+        # pp.pprint(loaded_doc)
+
+        docs_length += len(doc_trimmed)
+        loaded_docs.append(loaded_doc)
+        loaded_urls.append(unique_url)
+        loaded_search_hits.append(search_hit)        
+
+        if docs_length >= cfg.MAX_CONTEXT_LENGTH:
+            print(f'MAX_CONTEXT_LENGTH: {cfg.MAX_CONTEXT_LENGTH} exceeded, loaded {len(loaded_docs)} docs.')
+            break
+
+        if len(loaded_docs) >= cfg.MAX_CONTEXT_DOC_COUNT:
+            break
+
+    not_loaded_urls = []
+    for hit in search_hits:
+        url = hit['url']
+        if url not in loaded_urls and url not in not_loaded_urls:
+            not_loaded_urls.append(url)
+
+
+    # print(f'stuffed source document urls:')
+    # pp.pprint(loaded_urls)
+
+    print(f'Starting RAG structured output chain, llm: {cfg.MODEL_TYPE}')
+    
+    start = timeit.default_timer()
+    llm = build_llm(streaming=False)
+    prompt = ChatPromptTemplate.from_messages(
+            [('system', 'You are a helpful assistant.'),
+             ('human',  qa_template(extract_search_queries.userInputLanguageName))]
+        )
+
+
+    runnable = create_structured_output_chain(RagPromptReply, llm, prompt)
+    result = runnable.invoke({
+        "context": yaml.dump(loaded_docs),
+        "question": extract_search_queries.questionTranslatedToEnglish
+    })
+
+
+    durations['rag_query'] = round(timeit.default_timer() - start, 1)
+
+    # print(f"Time to run RAG structured output chain: {chain_end - chain_start} seconds")
+
+    # print(f'runnable result:')
+    # pp.pprint(result)
+
+    if result['function'] is not None:
+        relevant_sources = [{
+            'url': context.source,
+            'title': next((hit['lvl0'] for hit in search_hits if hit['url'] == context.source), None),
+        }
+        for context in result['function'].relevant_contexts]
+        rag_success = result['function'].i_dont_know != True
+    else:
+        relevant_sources = []
+        # rag_success = None
+
+    start = timeit.default_timer()
+    
+    # perhaps move this to a config flag
+    translated_answer = result['function'].helpful_answer
+
+    translation_enabled = True
+
+    # translate if necessary
+    if translation_enabled and rag_success and  extract_search_queries.userInputLanguageCode != 'en':
+        translated_answer = await translate_to_language(
+            result['function'].helpful_answer, extract_search_queries.userInputLanguageName)
+    
+    durations['translation'] = round(timeit.default_timer() - start, 1)
+    durations['total'] = timeit.default_timer() - total_start
+
+
+    response = {
+        'original_user_query': user_input,
+        'english_user_query': extract_search_queries.questionTranslatedToEnglish,
+        'user_query_language_code': extract_search_queries.userInputLanguageCode,
+        'user_query_language_name': extract_search_queries.userInputLanguageName,
+        'english_answer': result['function'].helpful_answer,
+        'translated_answer': translated_answer,
+        'rag_success': rag_success,
+        'search_queries': extract_search_queries.searchQueries,
+        'source_urls': loaded_urls,
+        'source_documents': loaded_docs,
+        'relevant_urls': relevant_sources,
+        'not_loaded_urls': not_loaded_urls,
+        'durations': durations,
+    }
+
+    # pp.pprint(response)
+
+    return response
\ No newline at end of file
diff --git a/docs_qa/rag_manual_stuff.py b/docs_qa/rag_manual_stuff.py
index 576d3a8..1919a89 100644
--- a/docs_qa/rag_manual_stuff.py
+++ b/docs_qa/rag_manual_stuff.py
@@ -35,8 +35,7 @@ class RagPromptReply(BaseModel):
     helpful_answer: str = Field(..., description="The helpful answer")
     i_dont_know: bool = Field(..., description="True when unable to answer based on the given context.")
     relevant_contexts: Sequence[RagContextRefs] = Field(..., description="List of context documents that were relevant when answering the question.")
-    translated_answer: str = Field(..., description="The translated answer")
-
+    
 
 
 async def rag_with_typesense(user_input):
@@ -82,16 +81,43 @@ async def rag_with_typesense(user_input):
 
     start = timeit.default_timer()
 
+    all_urls = []
+    all_docs = []
     loaded_docs = []
     loaded_urls = []
     loaded_search_hits = []
     doc_index = 0
     docs_length = 0
 
+    # rerank results using ColBERT
+
+    # rerank - step 1 - load all documents in retrieval format
+    while doc_index < len(search_hits):        
+        search_hit = search_hits[doc_index]
+        doc_index += 1
+        unique_url = search_hit['url']
+
+        if unique_url in all_urls:
+            continue
+
+        doc_md = search_hit['content_markdown']
+        if len(doc_md) == 0:
+            continue
+
+        loaded_doc = {
+            'page_content': doc_md,
+            'metadata': {            
+                'source': unique_url,                                
+            }
+        }    
+        all_docs.append(loaded_doc)
+        all_urls.append(unique_url)
+
+    doc_index = 0
+
     # need to preserve order in documents list
     # should only append doc if context is not too big
 
-
     while doc_index < len(search_hits):        
         search_hit = search_hits[doc_index]
         doc_index += 1
diff --git a/jobs.py b/jobs.py
index b6fcd62..5d6c25b 100644
--- a/jobs.py
+++ b/jobs.py
@@ -1,6 +1,7 @@
 import asyncio
 import argparse
 from docs_qa import generate_search_phrases
+from docs_qa.update_colbert_index import run as update_colbert_index
 from github_qa.sync_issues import main as sync_issues
 
 if __name__ == "__main__":
@@ -22,5 +23,7 @@
     elif args.job == 'sync_github_issues':
         sync_issues()
 
+    elif args.job == 'update_colbert_index':
+        asyncio.run(update_colbert_index())
     else:
         print(f'Unknown job name "{args.job}"')
diff --git a/poetry.lock b/poetry.lock
index faf1179..e0dbf99 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -245,6 +245,137 @@ soupsieve = ">1.2"
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
+[[package]]
+name = "bitarray"
+version = "2.9.2"
+description = "efficient arrays of booleans -- C extension"
+optional = false
+python-versions = "*"
+files = [
+    {file = "bitarray-2.9.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:917905de565d9576eb20f53c797c15ba88b9f4f19728acabec8d01eee1d3756a"},
+    {file = "bitarray-2.9.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b35bfcb08b7693ab4bf9059111a6e9f14e07d57ac93cd967c420db58ab9b71e1"},
+    {file = "bitarray-2.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ea1923d2e7880f9e1959e035da661767b5a2e16a45dfd57d6aa831e8b65ee1bf"},
+    {file = "bitarray-2.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1e0b63a565e8a311cc8348ff1262d5784df0f79d64031d546411afd5dd7ef67d"},
+    {file = "bitarray-2.9.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cf0620da2b81946d28c0b16f3e3704d38e9837d85ee4f0652816e2609aaa4fed"},
+    {file = "bitarray-2.9.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:79a9b8b05f2876c7195a2b698c47528e86a73c61ea203394ff8e7a4434bda5c8"},
+    {file = "bitarray-2.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:345c76b349ff145549652436235c5532e5bfe9db690db6f0a6ad301c62b9ef21"},
+    {file = "bitarray-2.9.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4e2936f090bf3f4d1771f44f9077ebccdbc0415d2b598d51a969afcb519df505"},
+    {file = "bitarray-2.9.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:f9346e98fc2abcef90b942973087e2462af6d3e3710e82938078d3493f7fef52"},
+    {file = "bitarray-2.9.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e6ec283d4741befb86e8c3ea2e9ac1d17416c956d392107e45263e736954b1f7"},
+    {file = "bitarray-2.9.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:962892646599529917ef26266091e4cb3077c88b93c3833a909d68dcc971c4e3"},
+    {file = "bitarray-2.9.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:e8da5355d7d75a52df5b84750989e34e39919ec7e59fafc4c104cc1607ab2d31"},
+    {file = "bitarray-2.9.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:603e7d640e54ad764d2b4da6b61e126259af84f253a20f512dd10689566e5478"},
+    {file = "bitarray-2.9.2-cp310-cp310-win32.whl", hash = "sha256:f00079f8e69d75c2a417de7961a77612bb77ef46c09bc74607d86de4740771ef"},
+    {file = "bitarray-2.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:1bb33673e7f7190a65f0a940c1ef63266abdb391f4a3e544a47542d40a81f536"},
+    {file = "bitarray-2.9.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:fe71fd4b76380c2772f96f1e53a524da7063645d647a4fcd3b651bdd80ca0f2e"},
+    {file = "bitarray-2.9.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d527172919cdea1e13994a66d9708a80c3d33dedcf2f0548e4925e600fef3a3a"},
+    {file = "bitarray-2.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:052c5073bdcaa9dd10628d99d37a2f33ec09364b86dd1f6281e2d9f8d3db3060"},
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 version = "23.12.1"
@@ -291,6 +422,74 @@ d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
+[[package]]
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+optional = false
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 version = "2023.11.17"
@@ -490,6 +689,55 @@ files = [
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
+[[package]]
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+azure = ["azure-storage-blob (>=12)"]
+gs = ["google-cloud-storage"]
+s3 = ["boto3"]
+
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+torch = ["torch (==1.13.1)"]
+
 [[package]]
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 version = "0.4.6"
@@ -518,6 +766,21 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
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+description = "The sweetest config system for Python"
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+srsly = ">=2.4.0,<3.0.0"
+
 [[package]]
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 version = "0.2.27"
@@ -538,6 +801,48 @@ cuda = ["nvidia-cublas-cu12", "nvidia-cuda-runtime-cu12"]
 gptq = ["exllama (==0.1.0)"]
 tests = ["pytest"]
 
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 [[package]]
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 version = "0.6.3"
@@ -587,6 +892,48 @@ graphql = ["graphql-core (>=3.2.3,<4.0.0)"]
 http = ["httpx"]
 validation = ["openapi-spec-validator (>=0.2.8,<0.7.0)", "prance (>=0.18.2)"]
 
+[[package]]
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+description = "HuggingFace community-driven open-source library of datasets"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+fsspec = {version = ">=2021.11.1", extras = ["http"]}
+huggingface-hub = ">=0.14.0,<1.0.0"
+multiprocess = "*"
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+pyyaml = ">=5.1"
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+tqdm = ">=4.62.1"
+xxhash = "*"
+
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+audio = ["librosa", "soundfile (>=0.12.1)"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
+jax = ["jax (>=0.2.8,!=0.3.2,<=0.3.25)", "jaxlib (>=0.1.65,<=0.3.25)"]
+metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
+quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
+s3 = ["s3fs"]
+tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+torch = ["torch"]
+vision = ["Pillow (>=6.2.1)"]
+
 [[package]]
 name = "debugpy"
 version = "1.8.0"
@@ -625,6 +972,23 @@ files = [
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 
+[[package]]
+name = "deprecated"
+version = "1.2.14"
+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "Deprecated-1.2.14-py2.py3-none-any.whl", hash = "sha256:6fac8b097794a90302bdbb17b9b815e732d3c4720583ff1b198499d78470466c"},
+    {file = "Deprecated-1.2.14.tar.gz", hash = "sha256:e5323eb936458dccc2582dc6f9c322c852a775a27065ff2b0c4970b9d53d01b3"},
+]
+
+[package.dependencies]
+wrapt = ">=1.10,<2"
+
+[package.extras]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+
 [[package]]
 name = "deprecation"
 version = "2.1.0"
@@ -639,6 +1003,20 @@ files = [
 [package.dependencies]
 packaging = "*"
 
+[[package]]
+name = "dill"
+version = "0.3.7"
+description = "serialize all of Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "dill-0.3.7-py3-none-any.whl", hash = "sha256:76b122c08ef4ce2eedcd4d1abd8e641114bfc6c2867f49f3c41facf65bf19f5e"},
+    {file = "dill-0.3.7.tar.gz", hash = "sha256:cc1c8b182eb3013e24bd475ff2e9295af86c1a38eb1aff128dac8962a9ce3c03"},
+]
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -817,6 +1195,29 @@ files = [
     {file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
 ]
 
+[[package]]
+name = "flask"
+version = "3.0.0"
+description = "A simple framework for building complex web applications."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "flask-3.0.0-py3-none-any.whl", hash = "sha256:21128f47e4e3b9d597a3e8521a329bf56909b690fcc3fa3e477725aa81367638"},
+    {file = "flask-3.0.0.tar.gz", hash = "sha256:cfadcdb638b609361d29ec22360d6070a77d7463dcb3ab08d2c2f2f168845f58"},
+]
+
+[package.dependencies]
+blinker = ">=1.6.2"
+click = ">=8.1.3"
+importlib-metadata = {version = ">=3.6.0", markers = "python_version < \"3.10\""}
+itsdangerous = ">=2.1.2"
+Jinja2 = ">=3.1.2"
+Werkzeug = ">=3.0.0"
+
+[package.extras]
+async = ["asgiref (>=3.2)"]
+dotenv = ["python-dotenv"]
+
 [[package]]
 name = "frozenlist"
 version = "1.4.1"
@@ -914,6 +1315,10 @@ files = [
     {file = "fsspec-2023.12.2.tar.gz", hash = "sha256:8548d39e8810b59c38014934f6b31e57f40c1b20f911f4cc2b85389c7e9bf0cb"},
 ]
 
+[package.dependencies]
+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+requests = {version = "*", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -948,6 +1353,51 @@ files = [
     {file = "genson-1.2.2.tar.gz", hash = "sha256:8caf69aa10af7aee0e1a1351d1d06801f4696e005f06cedef438635384346a16"},
 ]
 
+[[package]]
+name = "git-python"
+version = "1.0.3"
+description = "combination and simplification of some useful git commands"
+optional = false
+python-versions = "*"
+files = [
+    {file = "git-python-1.0.3.zip", hash = "sha256:a7f51d07c7a0b0a15cb4dfa78601196dd20624211153d07c092b811edb6e86fb"},
+    {file = "git_python-1.0.3-py2.py3-none-any.whl", hash = "sha256:8820ce93786cd11a76d44c7153708588e8056213e4c512406ea3732871aa9ad6"},
+]
+
+[package.dependencies]
+gitpython = "*"
+
+[[package]]
+name = "gitdb"
+version = "4.0.11"
+description = "Git Object Database"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
+    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+]
+
+[package.dependencies]
+smmap = ">=3.0.1,<6"
+
+[[package]]
+name = "gitpython"
+version = "3.1.41"
+description = "GitPython is a Python library used to interact with Git repositories"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "GitPython-3.1.41-py3-none-any.whl", hash = "sha256:c36b6634d069b3f719610175020a9aed919421c87552185b085e04fbbdb10b7c"},
+    {file = "GitPython-3.1.41.tar.gz", hash = "sha256:ed66e624884f76df22c8e16066d567aaa5a37d5b5fa19db2c6df6f7156db9048"},
+]
+
+[package.dependencies]
+gitdb = ">=4.0.1,<5"
+
+[package.extras]
+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "sumtypes"]
+
 [[package]]
 name = "gotrue"
 version = "2.1.0"
@@ -1270,6 +1720,17 @@ files = [
 [package.extras]
 colors = ["colorama (>=0.4.6)"]
 
+[[package]]
+name = "itsdangerous"
+version = "2.1.2"
+description = "Safely pass data to untrusted environments and back."
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
+]
+
 [[package]]
 name = "jedi"
 version = "0.19.1"
@@ -1503,6 +1964,20 @@ numpy = ">=1,<2"
 openai = ">=1.6.1,<2.0.0"
 tiktoken = ">=0.5.2,<0.6.0"
 
+[[package]]
+name = "langcodes"
+version = "3.3.0"
+description = "Tools for labeling human languages with IETF language tags"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "langcodes-3.3.0.tar.gz", hash = "sha256:794d07d5a28781231ac335a1561b8442f8648ca07cd518310aeb45d6f0807ef6"},
+]
+
+[package.extras]
+data = ["language-data (>=1.1,<2.0)"]
+
 [[package]]
 name = "langdetect"
 version = "1.0.9"
@@ -1532,6 +2007,44 @@ files = [
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
+[[package]]
+name = "llama-index"
+version = "0.9.32"
+description = "Interface between LLMs and your data"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
+    {file = "llama_index-0.9.32-py3-none-any.whl", hash = "sha256:ca3122d78169fe700a47a77f0a0d6b7ddeb2532f7f44c66899cbf05818bb59b0"},
+    {file = "llama_index-0.9.32.tar.gz", hash = "sha256:8ba179259ea6589f9e085a0acaf27236858bb7307825e203c192ffeeb8452574"},
+]
+
+[package.dependencies]
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+dataclasses-json = "*"
+deprecated = ">=1.2.9.3"
+fsspec = ">=2023.5.0"
+httpx = "*"
+nest-asyncio = ">=1.5.8,<2.0.0"
+networkx = ">=3.0"
+nltk = ">=3.8.1,<4.0.0"
+numpy = "*"
+openai = ">=1.1.0"
+pandas = "*"
+requests = ">=2.31.0"
+SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
+tenacity = ">=8.2.0,<9.0.0"
+tiktoken = ">=0.3.3"
+typing-extensions = ">=4.5.0"
+typing-inspect = ">=0.8.0"
+
+[package.extras]
+gradientai = ["gradientai (>=1.4.0)"]
+langchain = ["langchain (>=0.0.303)"]
+local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.33.1,<5.0.0)"]
+postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg-binary (>=3.1.12,<4.0.0)", "psycopg2 (>=2.9.9,<3.0.0)"]
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+
 [[package]]
 name = "lxml"
 version = "5.1.0"
@@ -1709,16 +2222,6 @@ files = [
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@@ -1796,6 +2299,23 @@ files = [
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 ]
 
+[[package]]
+name = "mpmath"
+version = "1.3.0"
+description = "Python library for arbitrary-precision floating-point arithmetic"
+optional = false
+python-versions = "*"
+files = [
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+    {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
+]
+
+[package.extras]
+develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
+docs = ["sphinx"]
+gmpy = ["gmpy2 (>=2.1.0a4)"]
+tests = ["pytest (>=4.6)"]
+
 [[package]]
 name = "multidict"
 version = "6.0.4"
@@ -1879,6 +2399,76 @@ files = [
     {file = "multidict-6.0.4.tar.gz", hash = "sha256:3666906492efb76453c0e7b97f2cf459b0682e7402c0489a95484965dbc1da49"},
 ]
 
+[[package]]
+name = "multiprocess"
+version = "0.70.15"
+description = "better multiprocessing and multithreading in Python"
+optional = false
+python-versions = ">=3.7"
+files = [
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 version = "1.0.0"
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+
 [[package]]
 name = "nltk"
 version = "3.8.1"
@@ -1972,85 +2607,420 @@ files = [
 ]
 
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-description = "The official Python library for the openai API"
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-python-versions = ">=3.7.1"
+python-versions = ">=3"
 files = [
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-
-[package.extras]
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-
 [[package]]
-name = "packaging"
-version = "23.2"
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+name = "nvidia-cuda-cupti-cu12"
+version = "12.1.105"
+description = "CUDA profiling tools runtime libs."
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-python-versions = ">=3.7"
+python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
-name = "parso"
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-description = "A Python Parser"
+name = "nvidia-cuda-nvrtc-cu12"
+version = "12.1.105"
+description = "NVRTC native runtime libraries"
 optional = false
-python-versions = ">=3.6"
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 files = [
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 ]
 
-[package.extras]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["docopt", "pytest (<6.0.0)"]
-
 [[package]]
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 optional = false
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 ]
 
 [[package]]
-name = "pexpect"
-version = "4.9.0"
-description = "Pexpect allows easy control of interactive console applications."
+name = "nvidia-cudnn-cu12"
+version = "8.9.2.26"
+description = "cuDNN runtime libraries"
 optional = false
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+python-versions = ">=3"
 files = [
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 ]
 
 [package.dependencies]
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+nvidia-cublas-cu12 = "*"
 
 [[package]]
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-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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+version = "11.0.2.54"
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 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3"
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+
+[[package]]
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+description = "CURAND native runtime libraries"
+optional = false
+python-versions = ">=3"
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+cuda92 = ["cupy-cuda92 (>=5.0.0b4,<13.0.0)"]
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+th = ["pythainlp (>=2.0)"]
+transformers = ["spacy-transformers (>=1.1.2,<1.4.0)"]
+
+[[package]]
+name = "spacy-legacy"
+version = "3.0.12"
+description = "Legacy registered functions for spaCy backwards compatibility"
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
+[[package]]
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+version = "1.0.5"
+description = "Logging utilities for SpaCy"
+optional = false
+python-versions = ">=3.6"
+files = [
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+
 [[package]]
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 version = "2.0.25"
@@ -3005,7 +4581,7 @@ files = [
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
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 typing-extensions = ">=4.6.0"
 
 [package.extras]
@@ -3033,6 +4609,52 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
+[[package]]
+name = "srsly"
+version = "2.4.8"
+description = "Modern high-performance serialization utilities for Python"
+optional = false
+python-versions = ">=3.6"
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+
+[package.dependencies]
+catalogue = ">=2.0.3,<2.1.0"
+
 [[package]]
 name = "stack-data"
 version = "0.6.3"
@@ -3104,19 +4726,19 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
 
 [[package]]
 name = "supabase"
-version = "2.3.3"
+version = "2.3.4"
 description = "Supabase client for Python."
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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 [package.dependencies]
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 httpx = ">=0.24,<0.26"
-postgrest = ">=0.10.8,<0.14.0"
+postgrest = ">=0.10.8,<0.16.0"
 realtime = ">=1.0.0,<2.0.0"
 storage3 = ">=0.5.3,<0.8.0"
 supafunc = ">=0.3.1,<0.4.0"
@@ -3135,6 +4757,20 @@ files = [
 [package.dependencies]
 httpx = ">=0.24,<0.26"
 
+[[package]]
+name = "sympy"
+version = "1.12"
+description = "Computer algebra system (CAS) in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
+mpmath = ">=0.19"
+
 [[package]]
 name = "tabulate"
 version = "0.9.0"
@@ -3163,6 +4799,99 @@ files = [
 [package.extras]
 doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
+[[package]]
+name = "thinc"
+version = "8.2.2"
+description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
+optional = false
+python-versions = ">=3.6"
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+
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+optional = false
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+
 [[package]]
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 version = "0.2.13"
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+optional = false
+python-versions = ">=3.6"
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+wasabi = ">=0.9.1,<1.2.0"
+
 [[package]]
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 version = "11.0.3"
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+
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+watchdog = ["watchdog (>=2.3)"]
+
 [[package]]
 name = "wrapt"
 version = "1.16.0"
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+python-versions = ">=3.7"
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+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03"},
+    {file = "xxhash-3.4.1.tar.gz", hash = "sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.9.4"
@@ -3795,4 +6124,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "429b82d915c61748079a637b5392a83c0902bc0f3c0d76ad278b6a0cb7b50f3a"
+content-hash = "27fc9c857fa9538ff7221c627126d662e083ec27ad3eea05285bf4426161847b"
diff --git a/pyproject.toml b/pyproject.toml
index 785c808..2856f8f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,6 +33,7 @@ ctransformers = "^0.2.27"
 pytz = "^2023.3.post1"
 supabase = "^2.0.1"
 langchain-openai = "^0.0.2.post1"
+ragatouille = "^0.0.4b1"
 
 [build-system]
 requires = ["poetry-core"]