https://github.com/akshata29/pitchbook
https://github.com/akshata29/pitchbook
azure-functions azure-openai cognitive-search gpt-3 gpt-4 langchain-python llm nodejs pitchbook rag vector-search vector-store
Last synced: about 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/akshata29/pitchbook
- Owner: akshata29
- License: mit
- Created: 2024-01-28T00:39:00.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-10T14:06:01.000Z (about 2 years ago)
- Last Synced: 2025-03-28T03:32:26.207Z (about 1 year ago)
- Topics: azure-functions, azure-openai, cognitive-search, gpt-3, gpt-4, langchain-python, llm, nodejs, pitchbook, rag, vector-search, vector-store
- Language: TypeScript
- Homepage:
- Size: 3.47 MB
- Stars: 7
- Watchers: 4
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Pitch Book using LLM
This sample demonstrates building a pitch book from public, private and paid data sources.
## Updates
* 4/12/2024 - Upgrade the packages (langchain, azure-search, pinecone, redis, etc) to the latest versions
* 2/7/2024 - Add capability to suggest questions for Earning Calls & SEC Filings
* 1/28/2024 - Additional Details on all Cognitive search Index used
* pibec - Index to store the earning calls raw content
* pibpr - Index to store the Press Releases raw content (PR Date, Title, Content)
* pibecvector - Index to store the earning calls vector content (Only latest earning call transcript data)
* pibsummaries - Index to store the summaries of Pre-defined or Custom Topics for earning calls and SEC Filings
* pibsec - Index to store the SEC Filings raw content (Itemized by sections, content and additional metadata)
* pibsecvector - Index to store the sec data vector content (Only latest sec filing data - Not the itemized vector content, but the entire document vector. For now missing additional metadata too)
* pibdata - Index to store the "Cached" data from the above indexes. This is the index that is used for the search results
* 1/27/2024 - Initial Version
## Architecture
## Resources
* [Revolutionize your Enterprise Data with ChatGPT: Next-gen Apps w/ Azure OpenAI and Cognitive Search](https://aka.ms/entgptsearchblog)
* [Azure Cognitive Search](https://learn.microsoft.com/azure/search/search-what-is-azure-search)
* [Azure OpenAI Service](https://learn.microsoft.com/azure/cognitive-services/openai/overview)
* [Redis Search](https://learn.microsoft.com/en-us/azure/azure-cache-for-redis/cache-redis-modules#redisearch)
* [Pinecone](https://www.pinecone.io/learn/pinecone-v2/)
* [Cognitive Search Vector Store](https://aka.ms/VectorSearchSignUp)
## Contributions
We are open to contributions, whether it is in the form of new feature, update existing functionality or better documentation. Please create a pull request and we will review and merge it.
### Note
>Adapted from the repo at [OpenAI-CogSearch](https://github.com/Azure-Samples/azure-search-openai-demo/), [Call Center Analytics](https://github.com/amulchapla/AI-Powered-Call-Center-Intelligence), [Auto Evaluator](https://github.com/langchain-ai/auto-evaluator) and [Edgar Crawler](https://github.com/nlpaueb/edgar-crawler)