Releases: arkapatra31/LangChain
v1.1.2
v1.1.1
What's Changed
- ➡️Format the entire package using Black Utility by @arkapatra31 in #17
- ➡️Format the entire package using Black Utility by @arkapatra31 in #18
- Format by @arkapatra31 in #21
- Enhancement by @arkapatra31 in #22
- Service mods by @arkapatra31 in #23
- Foreign Key and Faker Implementation by @arkapatra31 in #24
Full Changelog: v1.1.0...v1.1.1
v1.1.0
What's Changed
- OpenAI Chat Model generating synthetic data by @arkapatra31 in #12
- Synthetic data/generator by @arkapatra31 in #13
- Sanitize and convert raw order data to DataFrame by @arkapatra31 in #14
- Synthetic data/data flavours by @arkapatra31 in #15
- Synthetic data/order details generator by @arkapatra31 in #16
Full Changelog: v1.0.9...v1.1.0
What's Changed
- OpenAI Chat Model generating synthetic data by @arkapatra31 in #12
- Synthetic data/generator by @arkapatra31 in #13
- Sanitize and convert raw order data to DataFrame by @arkapatra31 in #14
- Synthetic data/data flavours by @arkapatra31 in #15
- Synthetic data/order details generator by @arkapatra31 in #16
Full Changelog: v1.0.9...v1.1.0
v1.0.9
What's Changed
- Code interpreter by @arkapatra31 in #11
Full Changelog: v1.0.8...v1.0.9
Features Committed ~ PR Messages
➡️Understanding of Langchain Experimental Tools PKG
➡️Using the PythonREPL tool from Langchain
➡️Using the tool to write Python code
➡️Saving the reponse generated from the code
➡️Creating a CSV Agent to answer questions related to CSV file
➡️Creating a router agent to switch out to different agents based on the input prompt
➡️Create a Tool Calling Agent
➡️Bind Tools directly to a LLM
➡️Create Tool Calling Agent on 2 LLM Providers - OpenAI and Groq
v1.0.8
What's Changed
- Documentation Assistant Merge by @arkapatra31 in #10
Full Changelog: v1.0.7...v1.0.8
1.0.8What's Changed
- Documentation Assistant Merge by @arkapatra31 in #10
Full Changelog: v1.0.7...v1.0.8
v1.0.7
What's Changed
- RAG Deep Dive by @arkapatra31 in #9
Full Changelog: v1.0.6...v1.0.7
*** Updates :
➡️Uploading and Reading PDF Data
➡️Chunking of PDF Data to list of Documents / Text
➡️Implementation of both predefined and custom chat prompts
➡️ Pinecone Integration as Vector Store
➡️FAISS Integration as Local Vector Store
➡️Retrieval Chain implementation to retrieve data from both cloud and local vector store
➡️Implementation of Runnable Passthrough in order to avoid extra formatting of inputs to LLMs
v1.0.6
v1.0.5
v1.0.4
v1.0.3
Full Changelog: v1.0.2...v1.0.3