Chat with a PDF using Falcon: Unleashing the Power of Open-Source LLMs!
Blog post from Lambda
This project allows users to upload a PDF and engage in Q&A sessions about its contents, utilizing open-source LLMs. The application is built on top of Falcon, Chroma, and langchain, enabling seamless streaming of answers and supporting concurrent users. Users can choose from two modes for question-answering: Basic Mode for straightforward questions and Conversational Mode for more complex queries with historical context. The project uses fine-tuned Falcon models, including the 7B model, which can be hosted on a 24GB GPU machine, and provides features such as repetition penalty and randomness control to enhance the answering process. The application is open-source, requiring no OpenAI API Key, and can be launched from a local machine or hosted on Lambda Cloud for demonstration purposes.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 6 | 1,161 | 174 | 75 | -27% |
| LLM | 5 | 1,935 | 244 | 98 | -1% |
| Serverless | 2 | 919 | 144 | 74 | +58% |
| Real-time | 1 | 2,035 | 534 | 182 | -15% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.